Rami Jebara, the Chief Technology Officer and Co-Founder of Hyperview, has issued a warning about the use of spreadsheets and delayed dashboards in the data centre industry. These outdated tools are leading to costly decisions such as stranded capacity and missed ESG obligations. Jebara is advocating for the adoption of predictive and interoperable tools to address these challenges.
The data centre industry is facing a looming energy crisis, with global electricity demand expected to surge by over 165% by 2030, according to Goldman Sachs. In the US, data centres could consume nearly 9% of national electricity generation within five years, up from 4% in 2023. Artificial intelligence is driving this surge in energy consumption, reshaping infrastructure demands and pushing power consumption to unprecedented levels.
Legacy Data Centre Infrastructure Management (DCIM) platforms are struggling to keep up with the evolving demands of AI-driven workloads. Modern data centres operate at higher intensity, place unpredictable demands on power and cooling infrastructure, and are increasingly decentralised. This has created a need for more advanced tools that can provide real-time visibility, adapt to dynamic workload patterns, and deliver timely operational insights to meet performance, sustainability, and compliance standards.
As the data centre industry continues to expand, the need for smarter operations and efficient scaling decisions grounded in real operational insight becomes crucial. Operators must modernize their infrastructure management practices to maintain visibility, act with speed, and navigate the changing landscape of energy constraints and sustainability challenges. By investing in precision and deeper insight across all layers of infrastructure, data centre operators can thrive in the era of AI-driven computing.
